-
- Romain Banchereau
- Department of Oncology Biomarker Development, Genentech Inc, South San Francisco, California, USA
-
- Avantika S. Chitre
- Department of Cancer Immunology, Genentech Inc, South San Francisco, California, USA
-
- Alexis Scherl
- Department of Research Pathology, Genentech Inc, South San Francisco, California, USA
-
- Thomas D. Wu
- Department of Bioinformatics and Computational Biology, Genentech Inc, South San Francisco, California, USA
-
- Namrata S. Patil
- Department of Oncology Biomarker Development, Genentech Inc, South San Francisco, California, USA
-
- Patricia de Almeida
- Department of Cancer Immunology, Genentech Inc, South San Francisco, California, USA
-
- Edward E. Kadel, III
- Department of Oncology Biomarker Development, Genentech Inc, South San Francisco, California, USA
-
- Shravan Madireddi
- Department of Cancer Immunology, Genentech Inc, South San Francisco, California, USA
-
- Amelia Au-Yeung
- Department of OMNI Biomarker Development, Genentech Inc, South San Francisco, California, USA
-
- Chikara Takahashi
- Department of OMNI Biomarker Development, Genentech Inc, South San Francisco, California, USA
-
- Ying-Jiun Chen
- Department of Microchemistry, Proteomics, Lipidomics, and Next Generation Sequencing, Genentech Inc, South San Francisco, California, USA
-
- Zora Modrusan
- Department of Microchemistry, Proteomics, Lipidomics, and Next Generation Sequencing, Genentech Inc, South San Francisco, California, USA
-
- Jacqueline McBride
- Department of OMNI Biomarker Development, Genentech Inc, South San Francisco, California, USA
-
- Rhea Nersesian
- Department of Oncology Biomarker Development, Genentech Inc, South San Francisco, California, USA
-
- Ehab A. El-Gabry
- Ventana Medical Systems Inc, Tucson, Arizona, USA
-
- Mark D. Robida
- Ventana Medical Systems Inc, Tucson, Arizona, USA
-
- Jeffrey C. Hung
- Department of Research Pathology, Genentech Inc, South San Francisco, California, USA
-
- Marcin Kowanetz
- Department of Oncology Biomarker Development, Genentech Inc, South San Francisco, California, USA
-
- Wei Zou
- Department of Biostatistics Oncology, Genentech Inc, South San Francisco, California, USA
-
- Mark McCleland
- Department of Oncology Biomarker Development, Genentech Inc, South San Francisco, California, USA
-
- Patrick Caplazi
- Department of Research Pathology, Genentech Inc, South San Francisco, California, USA
-
- Shadi Toghi Eshgi
- Department of OMNI Biomarker Development, Genentech Inc, South San Francisco, California, USA
-
- Hartmut Koeppen
- Department of Research Pathology, Genentech Inc, South San Francisco, California, USA
-
- Priti S. Hegde
- Foundation Medicine, Cambridge, Massachusetts, USA
-
- Ira Mellman
- Department of Cancer Immunology, Genentech Inc, South San Francisco, California, USA
-
- W. Rodney Mathews
- Department of OMNI Biomarker Development, Genentech Inc, South San Francisco, California, USA
-
- Thomas Powles
- Barts Cancer Center, Queen Mary University, London, UK
-
- Sanjeev Mariathasan
- Department of Oncology Biomarker Development, Genentech Inc, South San Francisco, California, USA
-
- Jane Grogan
- Department of Cancer Immunology, Genentech Inc, South San Francisco, California, USA
-
- William E O'Gorman
- Department of OMNI Biomarker Development, Genentech Inc, South San Francisco, California, USA
書誌事項
- 公開日
- 2021-04
- 権利情報
-
- http://creativecommons.org/licenses/by-nc/4.0/
- DOI
-
- 10.1136/jitc-2020-002231
- 公開者
- BMJ
説明
<jats:sec> <jats:title>Background</jats:title> <jats:p>CD8+ tissue-resident memory T (T<jats:sub>RM</jats:sub>) cells, marked by CD103 (<jats:italic>ITGAE</jats:italic>) expression, are thought to actively suppress cancer progression, leading to the hypothesis that their presence in tumors may predict response to immunotherapy.</jats:p> </jats:sec> <jats:sec> <jats:title>Methods</jats:title> <jats:p>Here, we test this by combining high-dimensional single-cell modalities with bulk tumor transcriptomics from 1868 patients enrolled in lung and bladder cancer clinical trials of atezolizumab (anti-programmed cell death ligand 1 (PD-L1)).</jats:p> </jats:sec> <jats:sec> <jats:title>Results</jats:title> <jats:p> <jats:italic>ITGAE</jats:italic> was identified as the most significantly upregulated gene in inflamed tumors. Tumor CD103+ CD8+ T<jats:sub>RM</jats:sub> cells exhibited a complex phenotype defined by the expression of checkpoint regulators, cytotoxic proteins, and increased clonal expansion.</jats:p> </jats:sec> <jats:sec> <jats:title>Conclusions</jats:title> <jats:p>Our analyses indeed demonstrate that the presence of CD103+ CD8+ T<jats:sub>RM</jats:sub> cells, quantified by tracking intratumoral CD103 expression, can predict treatment outcome, suggesting that patients who respond to PD-1/PD-L1 blockade are those who exhibit an ongoing antitumor T-cell response.</jats:p> </jats:sec>
収録刊行物
-
- Journal for ImmunoTherapy of Cancer
-
Journal for ImmunoTherapy of Cancer 9 (4), e002231-, 2021-04
BMJ

